Job Description

Perform statistical inference on large data sets to inform decisions and drive actions.
Perform exploratory data analysis to develop understanding of data and gauge its accuracy.
Develop processes to monitor and analyze model performance.
Designing and maintaining databases, data systems, and data pipelines to ensure data accuracy, completeness, and reliability.
Identifying patterns, trends, and relationships in data sets to provide insights and inform business decisions.
Creating and presenting reports, dashboards, and visualizations to communicate findings to clients and guide decision-making.
Identifying data anomalies, errors, and inconsistencies and suggesting solutions.
Staying up-to-date with emerging trends and technologies in data analysis and leveraging them to improve the data analytics capabilities.

Qualifications:

Bachelors in Computer Science/Math/Economics/Physics/Engineering or related quantitative field
Programming experience in one or more of the following languages i.e. R or Python,
Ability to use SQL to work with large data sets.
Experience with statistical software like SPSS or SAS.
Ability to use SQL to work with large data sets.
Proficient in written and verbal English.